Introduction

This report analyzes global DTP vaccination rates using UNICEF data.

This report is prepared by Walliya Fatima Hassan (Student ID: 110024) for the MSc Management (Strategy) program.

Setup

Code

import pandas as pd
import plotly.express as px

Data Loading

Code

unicef = pd.read_csv("Unicef.csv")

Prepare DTP Data

Code

dtp_data = unicef[unicef['indicator'].str.contains('DTP', case=False, na=False)]
dtp_latest = (
    dtp_data.sort_values('time_period', ascending=False)
             .drop_duplicates(subset='country')
)[['country', 'obs_value']].rename(columns={'obs_value': 'DTP_Coverage'})

🌍 Global Map of DTP Vaccination Coverage

Code

fig_map = px.choropleth(
    dtp_latest,
    locations="country",
    locationmode="country names",
    color="DTP_Coverage",
    color_continuous_scale="Tealgrn",
    title="DTP Vaccination Coverage (%)"
)
fig_map

Global DTP Vaccination Coverage Map

📊 Top 10 Countries by DTP Coverage

Code

top10 = dtp_latest.nlargest(10, 'DTP_Coverage')
fig_bar = px.bar(
    top10,
    x='DTP_Coverage',
    y='country',
    orientation='h',
    color='DTP_Coverage',
    color_continuous_scale='Blues',
    title="Top 10 DTP Coverage Countries"
)
fig_bar

Top 10 Countries by DTP Coverage

📈 DTP Vaccination Trend Over Years (Sample Countries)

Code

sample_countries = ['India', 'Nigeria', 'Brazil', 'United States of America', 'South Africa']
dtp_sample = dtp_data[dtp_data['country'].isin(sample_countries)]

fig_line = px.line(
    dtp_sample,
    x='time_period',
    y='obs_value',
    color='country',
    markers=True,
    title="DTP Vaccination Trend Over Time"
)
fig_line

DTP Vaccination Trends Over Time

🔵 GNI vs DTP Vaccination Scatter Plot

Code

gni_data = unicef[unicef['indicator'].str.contains('GNI', case=False, na=False)]
gni_latest = (
    gni_data.sort_values('time_period', ascending=False)
             .drop_duplicates(subset='country')
)[['country','obs_value']].rename(columns={'obs_value': 'GNI_per_capita'})

merged = pd.merge(dtp_latest, gni_latest, on='country', how='inner')

fig_scatter = px.scatter(
    merged,
    x='GNI_per_capita',
    y='DTP_Coverage',
    trendline='ols',
    title="GNI per Capita vs DTP Vaccination Coverage"
)
fig_scatter

Scatter Plot: GNI vs DTP Coverage

Conclusion

Vaccination coverage rates serve as critical indicators of a nation’s healthcare accessibility and efficiency.
Higher GNI levels are associated with improved DTP immunization rates.
Targeted interventions are required in lower-income countries to enhance healthcare outcomes.

References

UNICEF Data Sources (2025)
World Bank GNI Statistics (2025)